# Fairvisor vs. Nginx limit_req

URL: https://fairvisor.com/compare/nginx-rate-limiting/

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 Fairvisor vs. Nginx limit_req See migration path from limit_req to Fairvisor The Situation Nginx limit_req and limit_conn are solid primitives for simple traffic protection.
But modern AI and multi-tenant APIs need richer dimensions: tenant-aware limits, budget controls, staged enforcement, and analytics.
Comparison Capability Fairvisor Nginx limit_req / limit_conn Algorithm Token bucket + cost-based + token-based Leaky bucket (limit_req), connection count (limit_conn) Limit keys JWT claims, headers, path, User-Agent, IP, combinations $binary_remote_addr and limited variables Per-tenant isolation Yes (any JWT claim) No (IP-focused unless custom scripting) Cost-based budgets Yes No AI features Loop detection, token counting, circuit breaker No Staged actions Warn -> throttle -> reject Reject or delay Shadow mode Yes No Dynamic config Policy hot-reload, SaaS management Requires reload Analytics Dashboard, per-tenant breakdown, export Basic status + log parsing Kill-switch Yes, propagated in < 10s Manual config change + reload When to Use Fairvisor You need business-context-aware limits (tenant, plan, endpoint). You need AI-specific enforcement and budget controls. You want management UI and operational analytics. When to Use Nginx limit_req Simple IP-based limiting is enough. You have a small set of endpoints and static rules. You do not need tenant analytics or staged policy workflows. Use Them Together Fairvisor runs on OpenResty/Nginx runtime foundations. Migration can be incremental: policy replacement, not full infra replacement. Keep your Nginx stack while upgrading enforcement depth. Outgrowing basic Nginx rate limiting? See migration path from limit_req to Fairvisor